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Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification

Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon (2024)

Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e28147

An Introduction to Artificial Intelligence

Janet Finlay, Alan John Dix • CRC Press eBooks (2020)

An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the cen...

OPENALEX DOI: https://doi.org/10.1201/9781003072485

MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses

Muhammad Nabeel Asim, Muhammad Nabeel Asim, Ahtisham Fazeel, Ahtisham Fazeel et al. • Frontiers in Medicine (2022)

Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2022.1025887

Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review

Shaqayeq Saffari, Morteza Dorrigiv, Farzin Yaghmaee • Journal of Artificial Intelligence and Data Mining (2024)

Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While...

DOAJ Open Access (DOAJ) DOI: 10.22044/jadm.2025.15016.2603

Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories

Jian Wang, Yujia Huo, Jinli Mahe, Zongyuan Ge et al. • IEEE Access (2024)

Artificial intelligence (AI) ethics has emerged as a global discourse within both academic and policy spheres. However, translating these principles into concrete, real-world applications for AI development remains a pressing need and a sig...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3501332

A multi-organization epigenetic age prediction based on a channel attention perceptron networks

Jian Zhao, Haixia Li, Jing Qu, Jing Qu et al. • Frontiers in Genetics (2024)

DNA methylation indicates the individual’s aging, so-called Epigenetic clocks, which will improve the research and diagnosis of aging diseases by investigating the correlation between methylation loci and human aging. Although this discover...

DOAJ Open Access (DOAJ) DOI: 10.3389/fgene.2024.1393856

Application of artificial intelligence in gastroenterology

Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology (2019)

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...

OPENALEX cc-by-nc DOI: https://doi.org/10.3748/wjg.v25.i14.1666 PMC: 6465941

Artificial Intelligence in Medical Diagnosis

Peter Szolovits B, Ramesh S. Patil, William B. Schwartz • Annals of Internal Medicine (1988)

In an attempt to overcome limitations inherent in conventional computer-aided diagnosis, investigators have created programs that simulate expert human reasoning. Hopes that such a strategy would lead to clinically useful programs have not ...

OPENALEX DOI: https://doi.org/10.7326/0003-4819-108-1-80

Artificial Intelligence, Simulation, and Modeling

Lawrence E. Widman, Kenneth A. Loparo • INFORMS Journal on Applied Analytics (1990)

Artificial intelligence and simulation overlap increasingly as computer hardware prices fall and software sophistication increases. Artificial intelligence programming methods permit more realistic and robust simulation models and help the ...

OPENALEX DOI: https://doi.org/10.1287/inte.20.2.48

Assessing and Optimizing Socio-Moral Reasoning Skills: Findings From the MorALERT Serious Video Game

Hamza Zarglayoun, Hamza Zarglayoun, Juliette Laurendeau-Martin, Ange Tato et al. • Frontiers in Psychology (2022)

BackgroundSocial cognition and competence are a key part of daily interactions and essential for satisfying relationships and well-being. Pediatric neurological and psychological conditions can affect social cognition and require assessment...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2021.767596

Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny • Mathematics (2024)

The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...

DOAJ Open Access (DOAJ) DOI: 10.3390/math12233727

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access (2023)

Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3332243

Artificial Intelligence Review

Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks (2017)

In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010

Artificial intelligence in reproductive medicine

Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction (2019)

Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...

OPENALEX cc-by DOI: https://doi.org/10.1530/rep-18-0523 PMC: 6733338